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Product Data Scientist

Reposted 11 Days Ago
Los Angeles, CA
Senior level
Los Angeles, CA
Senior level
The Data Scientist will analyze product performance, design metrics and dashboards, conduct A/B tests, and develop machine learning models to drive business strategy.
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About Passes:

Passes is a leading platform dedicated to empowering creators and fostering meaningful connections with their audiences. We are committed to providing innovative solutions that help creators grow and thrive in the digital landscape. Join us and be a part of a team that is shaping the future of the creator economy.

Position Overview:

Passes is seeking a dynamic and experienced Data Scientist to cover product analytics and applications of advanced ML models across the business. This individual will be responsible for conducting analyses that inform the strategy and roadmap of the company’s product and business strategies. The ideal candidate will have an extensive background in data analysis, analytics engineering, forecasting, and producing well designed machine learning models.

Key Responsibilities:

  1. Product Analysis
    1. Design metrics aligned with product goals, create pipelines & dashboards to monitor them.
    2. Experimentation design and analysis of A/B or multivariate tests
    3. Conduct deep dive analyses and provide insights into the behavior of creators and their fans.
  2. Analytics Engineering
    1. Automate basic operational tasks
    2. Create ETL processes for data analysis.
    3. Design & maintain data models to facilitate reporting & analytics.
    4. Able to optimize data pipelines.
    5. Monitor the performance and status of data jobs, proactively actioning potential issues.
  3. Applied Data Science
    • Experience designing high performance predictive models on tabular datasets
    • Analyze large datasets to identify trends, patterns, and insights that inform recommendation strategies.
    • Collaborate with product, engineering, and design teams to integrate recommendation systems into applications.
    • [Plus] Design, implement, and evaluate basic recommendation algorithms, including collaborative filtering, content-based filtering, and hybrid methods.

Qualifications:

  • 6+ years of experience working in the data field.
  • Strong critical thinking and analytical skills, paired with excellent verbal and written communication skills. Candidate should be able to communicate highly technical concepts with non-technical stakeholders, and write clear and concise documents for a variety of audiences.
  • Experience and desire to work in a fast-paced environment, navigating ambiguity and achieving excellent outcomes.
  • Experience designing metrics, analyzing product funnels, A/B testing, and creating & optimizing ML pipelines.
  • Bachelor's degree in Computer Science, Economics, Statistics, or a related field, or equivalent work experience
  • Experience with common data warehouse technologies including Redshift, Snowflake, Big Query, Athena, Spark, DBT.
  • Adept in various data visualization tools, designing dashboards for a variety of audiences.
  • Basic to intermediate programming skills in Python or R.

Benefits:

  • Competitive salary and equity package.
  • Comprehensive health, dental, and vision insurance.
  • 401(k) plan.
  • Unlimited PTO.
  • Professional development opportunities and continuous learning support.
  • Flexible work environment with opportunities for remote work.
  • Passes is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Top Skills

Athena
Big Query
Dbt
Python
R
Redshift
Snowflake
Spark

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